在结肠镜检查过程中,人工智能的使用是否是检测多重体的主要阶段?
Vladislav V Tsukanov1, Alexander V Vasyutin1, Edward V Kasparov1
1Clinical Department of the Digestive System Pathology of Adults and Children, Federal Research Center "Krasnoyarsk Science Center" of the Siberian Branch of the Russian Academy of Sciences, Scientific Research Institute of Medical Problems of the North, Krasnoyarsk 660022, Russia.
World journal of gastroenterology
|June 20, 2025
概括
人工智能 (AI) 通过分析结肠镜检查数据,有望改善结肠直肠癌 (CRC) 查. 然而,在人工智能系统的准确性和广泛临床采用的方法标准化方面,仍然存在挑战.
科学领域:
- 胃肠病学 胃肠病学
- 在瘤学瘤学.
- 医疗成像医学成像
背景情况:
- 结肠直肠癌 (CRC) 是一个主要的全球健康问题,需要有效的查方法.
- 结肠直肠多是CRC的关键指标,使结肠镜成为主要的查工具.
- 分析结肠镜数据 (息肉大小,位置,形态) 在标准化方面存在挑战.
研究的目的:
- 评估人工智能 (AI) 方法在提高结直肠癌 (CRC) 查效率方面的潜力.
- 为了解决分析结肠镜检查结果和标准化形态数据的困难.
- 审查人工智能的应用,特别是机器学习,用于监测结肠直肠多角切除术结果.
主要方法:
- 在CRC查中对AI进行现有研究的审查和解释.
- 专注于基于机器学习的预测模型来分析结肠镜数据.
- 讨论与人工智能系统在多诊断中的方法挑战和错误.
主要成果:
- 人工智能方法越来越多地被提出,以提高内镜CRC查的准确性和效率.
- 研究强调了人工智能在标准化聚特征分析方面的潜力.
- 现有研究还发现了当前用于诊断多的AI应用中的错误和方法限制.
结论:
- 人工智能为推进结直肠癌内镜查提供了积极的前景.
- 在CRC查中广泛采用AI面临与准确性,标准化和方法验证相关的障碍.
- 进一步的研究和开发是必要的,以克服有效的临床实施目前的局限性.
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